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and ability to work effectively in interdisciplinary teams Ability to manage complex research projects and mentor students Preferred Qualifications Experience with artificial intelligence (AI) and
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algorithms, web applications, cybersecurity, and topics related to artificial intelligence, computer systems, and UI/UX. We have opportunities to teach classes dedicated to CS majors as well as classes
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leadership in research, development and implementation of artificial intelligence (AI) capabilities to accelerate Materials research, utilizing strengths in the core facilities of the Texas Materials
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well as teaching new undergraduate data analytics/AI courses at UT Austin. We are committed to strengthening our leadership in research, development and implementation of artificial intelligence (AI) capabilities
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, experience with social work and health in a clinical setting is especially valued. Research domains of particular interest to our schools include bioethics, digital health, health technology, and artificial
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technology, automation and artificial intelligence strategy that facilities and enables and enhances patient care while reducing cognitive burden of clinicians Assuring exceptional patient experience
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assistant professors only: Core software engineering, including but not limited to adjacent topics such as mobile/IoT/cloud computing, secruity/privacy, HCI/ubicomp. Core as well as Applied Artificial
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area of linguistics and specifically connects linguistics to artificial intelligence, with particular interest in candidates who can interface with any of our current major areas of research in syntax
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innovations in methods and tools for sequence analysis and artificial intelligence (AI)/machine learning (ML) techniques and tools relevant to therapeutics. Participate in the implementation of new tool
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of everything UTMC does, supported by a digital-first approach using technology, data, and artificial intelligence to provide care, prevent disease, and promote health. UTMC will deliver an exceptional patient